IET Systems Biology

Papers
(The TQCC of IET Systems Biology is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-12-01 to 2025-12-01.)
ArticleCitations
Excavation of gene markers associated with pancreatic ductal adenocarcinoma based on interrelationships of gene expression42
Novel Biomarker Identification for Acute Coronary Syndrome via Integrating WGCNA and Machine Learning26
Predictor‐Based Output Feedback Control of Tumour Growth With Positive Input: Application to Antiangiogenic Therapy17
Transcriptome sequencing and metabolome analysis to reveal renewal evidence for drought adaptation in mulberry15
A comprehensive analysis of FBN2 in bladder cancer: A risk factor and the tumour microenvironment influencer10
iGATTLDA: Integrative graph attention and transformer‐based model for predicting lncRNA‐Disease associations10
Identifying driver modules based on multi‐omics biological networks in prostate cancer10
High expression of centromere protein A and its molecular mechanism and clinical significance in prostate cancer: A study based on data mining and immunohistochemistry9
Identification and analysis of epithelial‐mesenchymal transition‐related key long non‐coding RNAs in hypospadias8
Transcriptome Analyses Reveal the Important miRNAs Involved in Immune Response of Gastric Cancer8
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Pan‐Cancer Integrative Analyses Reveal the Crosstalk Between the Intratumoral Microbiome, TP53 Mutation and Tumour Microenvironment8
Integrative Analysis of Mitochondrial‐Related Genes Reveals Diagnostic Biomarkers and Therapeutic Targets in Acute Pancreatitis7
Human essential gene identification based on feature fusion and feature screening7
Disrupted myelination network in the cingulate cortex of Parkinson's disease6
SRAS‐net: Low‐resolution chromosome image classification based on deep learning5
Continuous Cuffless Blood Pressure Estimation Based on Fractional Order Derivatives via Gramian Angular Field Only Using Photoplethysmograms5
Prediction and analysis of genetic effect in idiopathic pulmonary fibrosis and gastroesophageal reflux disease5
Identification of toll‐like receptor 5 and acyl‐CoA synthetase long chain family member 1 as hub genes are correlated with the severe forms of COVID‐19 by Weighted gene co‐expression network analysis5
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MRANet: Multi‐Dimensional Residual Attentional Network for Precise Polyp Segmentation5
Robust positive control of tumour growth using angiogenic inhibition5
Identification of HIBCH and MGME1 as Mitochondrial Dynamics‐Related Biomarkers in Alzheimer's Disease Via Integrated Bioinformatics Analysis4
Co‐Expression Transcriptomic Profiling Identifies Sex‐Universal Molecular Markers of Muscle Atrophy4
Cuproptosis‐related lncRNAs are correlated with tumour metabolism and immune microenvironment and predict prognosis in pancreatic cancer patients4
Genes associated with diagnosis and prognosis of Burkitt lymphoma4
Machine learning unveils RNA polymerase II binding as a predictor for SMAD2‐dependent transcription dynamics in response to Actvin signalling3
A Super‐Enhancer‐Related Ferroptosis Signature Predicts Survival and Immune Microenvironment in Colon Cancer Based on Bioinformatics Analyses and Experimental Validation3
Comprehensive analysis of alternative splicing signatures in pancreatic head cancer3
Comprehensive analysis of LILR family genes expression and tumour‐infiltrating immune cells in early‐stage pancreatic ductal adenocarcinoma3
PMLocMSCAM: Predicting miRNA Subcellular Localisations by miRNA Similarities and Cross‐Attention Mechanism3
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SpaGraphCCI: Spatial cell–cell communication inference through GAT‐based co‐convolutional feature integration3
Identification of molecular subtypes of ischaemic stroke based on immune‐related genes and weighted co‐expression network analysis3
CAAFE‐ResNet: A ResNet With Channel Attention‐Augmented Feature Extraction for Prognostic Assessment in Rectal Cancer2
Gene signatures of endoplasmic reticulum stress and mitophagy for prognostic risk prediction in lung adenocarcinoma2
Anoikis‐related genes as potential prognostic biomarkers in gastric cancer: A multilevel integrative analysis and predictive therapeutic value2
Hub genes and pathways in gastric cancer: A comparison between studies that used normal tissues adjacent to the tumour and studies that used healthy tissues as calibrator2
SeqBMC: Single‐cell data processing using iterative block matrix completion algorithm based on matrix factorisation2
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StackAHTPs: An explainable antihypertensive peptides identifier based on heterogeneous features and stacked learning approach2
An immune‐related multi‐omics analysis of dolichyl‐diphosphooligosaccharide protein glycosyltransferase in glioma: Prognostic value exploration and competitive endogenous RNA network identification2
ACP‐DPE: A Dual‐Channel Deep Learning Model for Anticancer Peptide Prediction2
Integrated bioinformatics analysis identified leucine rich repeat containing 15 and secreted phosphoprotein 1 as hub genes for calcific aortic valve disease and osteoarthritis2
Identification of an M1 Macrophages‐Related Signature for Predicting the Survival and Therapeutic Response in Gastric Cancer2
DNA methylation plays important roles in lifestyle transition of Arthrobotrys oligospora2
Adjusting laser power to control the heat generated by nanoparticles at the site of a patient's cells2
Cascade Aggregation Network for Accurate Polyp Segmentation2
Integration of Single‐Cell RNA and Bulk RNA Sequencing Reveals Cellular Heterogeneity and Identifies Survival‐Associated Regulatory Networks in Glioblastoma2
The Potential Mechanism of Kushen Decoction in Treating Haemorrhoids: An Integration of Network Pharmacology, Molecular Docking and Molecular Dynamics Simulation2
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